Testing detect
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@@ -196,7 +196,7 @@ class YOLOWrapper:
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f"Running inference on {source} -> prepared_source {prepared_source}"
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f"Running inference on {source} -> prepared_source {prepared_source}"
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)
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)
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results = self.model.predict(
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results = self.model.predict(
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source=prepared_source,
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source=source,
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conf=conf,
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conf=conf,
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iou=iou,
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iou=iou,
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save=save,
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save=save,
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@@ -129,8 +129,13 @@ class Image:
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# Extract metadata
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# Extract metadata
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print(self._data.shape)
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print(self._data.shape)
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if len(self._data.shape) == 2:
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self._height, self._width = self._data.shape[:2]
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self._height, self._width = self._data.shape[:2]
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self._channels = self._data.shape[2] if len(self._data.shape) == 3 else 1
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self._channels = 1
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else:
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self._height, self._width = self._data.shape[1:]
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self._channels = self._data.shape[0]
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# self._channels = self._data.shape[2] if len(self._data.shape) == 3 else 1
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self._format = self.path.suffix.lower().lstrip(".")
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self._format = self.path.suffix.lower().lstrip(".")
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self._size_bytes = self.path.stat().st_size
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self._size_bytes = self.path.stat().st_size
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self._dtype = self._data.dtype
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self._dtype = self._data.dtype
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@@ -317,6 +322,7 @@ class Image:
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if self.channels == 1:
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if self.channels == 1:
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if pseudo_rgb:
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if pseudo_rgb:
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img = get_pseudo_rgb(self.data)
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img = get_pseudo_rgb(self.data)
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print("Image.save", img.shape)
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else:
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else:
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img = np.repeat(self.data, 3, axis=2)
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img = np.repeat(self.data, 3, axis=2)
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